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Surgical data science and artificial intelligence for surgical education.
Ward, Thomas M; Mascagni, Pietro; Madani, Amin; Padoy, Nicolas; Perretta, Silvana; Hashimoto, Daniel A.
Affiliation
  • Ward TM; Department of Surgery, Surgical AI & Innovation Laboratory, Massachusetts General Hospital, Boston, Massachusetts.
  • Mascagni P; ICube, University of Strasbourg, CNRS, France.
  • Madani A; Fondazione Policlinico A. Gemelli IRCCS, Rome, Italy.
  • Padoy N; IHU Strasbourg, Strasbourg, France.
  • Perretta S; Department of Surgery, University Health Network, Toronto, Canada.
  • Hashimoto DA; ICube, University of Strasbourg, CNRS, France.
J Surg Oncol ; 124(2): 221-230, 2021 Aug.
Article in En | MEDLINE | ID: mdl-34245578
ABSTRACT
Surgical data science (SDS) aims to improve the quality of interventional healthcare and its value through the capture, organization, analysis, and modeling of procedural data. As data capture has increased and artificial intelligence (AI) has advanced, SDS can help to unlock augmented and automated coaching, feedback, assessment, and decision support in surgery. We review major concepts in SDS and AI as applied to surgical education and surgical oncology.
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Education, Medical, Graduate / Surgical Oncology / Data Science Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: J Surg Oncol Year: 2021 Type: Article
Fulltext
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PubMed Links
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Artificial Intelligence / Education, Medical, Graduate / Surgical Oncology / Data Science Type of study: Prognostic_studies Limits: Humans Country/Region as subject: America do norte / Europa Language: En Journal: J Surg Oncol Year: 2021 Type: Article